scholarly journals Reference values for skeletal muscle mass and fat mass measured by bioelectrical impedance in 390 565 UK adults

2020 ◽  
Vol 11 (2) ◽  
pp. 487-496 ◽  
Author(s):  
Mei‐Man Lee ◽  
Susan A. Jebb ◽  
Jason Oke ◽  
Carmen Piernas
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Fat Mass ◽  
Reference Values ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance

scholarly journals Reference Values for Skeletal Muscle Mass – Current Concepts and Methodological Considerations

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 755 ◽  
Author(s):  
Carina O. Walowski ◽  
Wiebke Braun ◽  
Michael J. Maisch ◽  
Björn Jensen ◽  
Sven Peine ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Reference Values ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance ◽  
Reference Population ◽  
Muscle Quality ◽  
Whole Body ◽  
Whole Body Imaging ◽  
Cross Sectional

Assessment of a low skeletal muscle mass (SM) is important for diagnosis of ageing and disease-associated sarcopenia and is hindered by heterogeneous methods and terminologies that lead to differences in diagnostic criteria among studies and even among consensus definitions. The aim of this review was to analyze and summarize previously published cut-offs for SM applied in clinical and research settings and to facilitate comparison of results between studies. Multiple published reference values for discrepant parameters of SM were identified from 64 studies and the underlying methodological assumptions and limitations are compared including different concepts for normalization of SM for body size and fat mass (FM). Single computed tomography or magnetic resonance imaging images and appendicular lean soft tissue by dual X-ray absorptiometry (DXA) or bioelectrical impedance analysis (BIA) are taken as a valid substitute of total SM because they show a high correlation with results from whole body imaging in cross-sectional and longitudinal analyses. However, the random error of these methods limits the applicability of these substitutes in the assessment of individual cases and together with the systematic error limits the accurate detection of changes in SM. Adverse effects of obesity on muscle quality and function may lead to an underestimation of sarcopenia in obesity and may justify normalization of SM for FM. In conclusion, results for SM can only be compared with reference values using the same method, BIA- or DXA-device and an appropriate reference population. Limitations of proxies for total SM as well as normalization of SM for FM are important content-related issues that need to be considered in longitudinal studies, populations with obesity or older subjects.

Body composition in the elderly: Reference values and bioelectrical impedance spectroscopy to predict total body skeletal muscle mass

2009 ◽  
Vol 28 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Marja Tengvall ◽  
Lars Ellegård ◽  
Vibeke Malmros ◽  
Niklas Bosaeus ◽  
Lauren Lissner ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Impedance Spectroscopy ◽  
Muscle Mass ◽  
Reference Values ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance ◽  
The Elderly ◽  
Total Body

scholarly journals Skeletal Muscle Mass Index cut-offs by bioelectrical impedance analysis to determine Sarcopenia Based on healthy young or old Populations: A Comparative Study

2021 ◽  
Vol 2008 (1) ◽  
pp. 012012
Author(s):  
J S Villada-Gómez ◽  
C H González-Correa ◽  
M C Pineda-Zuluaga
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Reference Values ◽  
Bioelectrical Impedance Analysis ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Community Dwelling ◽  
Young Population ◽  
Skeletal Muscle Mass Index

Abstract Skeletal muscle mass index (SMMI) is a component in sarcopenia. There is no universal cut-off point and therefore each population should have its own reference values. This study aimed comparing SMMI cut-off points derived from a young population with those obtained directly from an elderly population. 237 older adult community-dwelling older than 60 years were evaluated. The skeletal muscle mass (SMM) was evaluated by bioelectrical impedance analysis (BIA). SMMI was calculated as SMM/height squared. The young population consisted of 255 participants from the same locality. The cut-off points from older person for moderate low muscle mass were 6.70 (women) and 9.20 kg/m2 (men). In this case, they were higher than those estimated from the young population (6.42 and 8.40 kg/m2for women and men). A similar trend was obtained when the cut-off points were set below the 20th percentile. When two standard deviations were used to determine the cut-off points, the values for older women were lower (5.90 kg/m2) than those obtained from young adults. There were no differences in the case of men. SMMI reference values from elderly persons is an option to diagnose sarcopenia, however prospective studies are necessary to stablish the capacity to predict functional outcomes.

scholarly journals Relations of body voluminosity and indicators of muscularity with physical performance of police employees: pilot study

2018 ◽  
Vol 4 (111) ◽  
pp. 30-38 ◽  
Author(s):  
Filip Kukic ◽  
Aleksandar Cvorovic ◽  
Jay Dawes ◽  
Robin M. Orr ◽  
Milivoj Dopsaj
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Physical Performance ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Univariate Analysis ◽  
Bioelectrical Impedance ◽  
Body Volume ◽  
Test Results ◽  
Post Hoc

Background. Activities like running, push-ups and sit-ups may be impacted by a higher body volume and size whether it is due to the amount of fat mass (FM) or skeletal muscle mass (SMM). The purpose of this study was to investigate the differences in physical performance among muscularly developed police employees with higher body mass index (BMI) levels. Methods. Twenty (n = 20) male police employees were divided in 3 groups by BMI but defined by significantly different skeletal muscle mass index (SMMI): muscular (n = 7, BMI < 25 kg/m 2 , SMMI ≥ 13.16 kg/m 2 ), very muscular (n = 7, BMI = 25–27.5 kg/m 2 , SMMI = 13.17–14.10 kg/m 2 ), and highly muscular (n = 6, BMI > 27.5 kg/m 2 , SMMI ≥ 14.10 kg/m 2 ). Body composition components (FM, SMM, percent of fat mass [PFM], percent of skeletal muscle mass [PSMM], SMMI) were assessed by multichannel bioelectrical impedance. The differences in performance of the 50-meter sprint run (RU50), 1-minute push-up (PU), 1-minute sit-up (SU), and 800-meter run (RU800) between BMI groups were statistically tested by a univariate analysis of variance with a Bonferroni post-hoc test. Results. Highly muscular participants performed fewer SU than muscular (8.14 repetitions, p = .004) and very muscular (6.42 repetitions, p = .021) participants, and run slower on RU800 test (52.57 s, p = .034 and 51.71 s, p = .038, respectively). Conclusion. Physical performance may be negatively impacted in highly muscular police employees once BMI gets above 27.5 kg/m 2 and SMMI above 14.10 kg/m 2 .

Appendicular skeletal muscle mass to truncal fat mass ratio as a new index for osteosarcopenic obesity syndrome in older adults: emphasizing the role of central obesity

2020 ◽  
Author(s):  
Lazuardhi Dwipa ◽  
Rini Widiastuti ◽  
Alif Bagus Rakhimullah ◽  
Marcellinus Maharsidi ◽  
Yuni Susanti Pratiwi ◽  
...  
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Fat Mass ◽  
Central Obesity ◽  
Skeletal Muscle Mass ◽  
Positive Correlation ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Background The relationship between obesity and low bone mineral density (BMD) in older adults is still unclear. Most of the previous study did not account the factor of sarcopenia which is the progressive loss of skeletal muscle mass due to aging, and distribution of fat in obesity. Thus, this study was aimed to explore the correlation between appendicular skeletal muscle mass (ASMM), total fat mass (FM), and truncal fat mass (TrFM) as well as indexes (ASMM/FM and ASMM/TrFM ratio) with BMD in older adults.Methods This was an analytic cross-sectional study. Dual x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) were used to assess BMD and body composition, respectively. Appendicular Skeletal Muscle Mass (ASMM) were used in the analysis to reflect sarcopenia, Fat Mass (FM) and Trunkal Fat Mass (TrFM) were used to reflect general and central obesity, respectively. All data were obtained from medical records of Geriatric Clinic of Hasan Sadikin General Hospital Bandung Indonesia from January 2014 to December 2018. The correlation between body compositions variable with BMD were analyzed using Spearman’s test. We also conducted a comparison analysis of body composition variables between low and normal BMD using Mann-Whitney test. Results A total of 112 subjects were enrolled in the study. ASMM and TrFM were positive (rs=0.517, p<0.001) and negative (rS=-0.22, p=0.02) correlated with BMD, respectively. FM were not correlated with BMD, rS=-0.113 (p=0.234). As indexes, ASMM/FM and ASMM/TrFM had positive correlation with BMD, rS=0.277 (p<0.001), and rS=0.391 (p<0.001), respectively. The ASMM, TrFM, and ASMM/TrFM ratio between normal and low BMD also significantly different (p<0.001), meanwhile FM were not (p=0.204).Conclusion ASMM and TrFM have a positive and negative correlation with BMD, respectively. ASMM/TrFM ratio as new sarcopenia-central obesity index has a positive correlation with BMD.

P1569ADIPONECTIN IS ASSOCIATED WITH DECLINE IS SKELETAL MUSCLE MASS AND BONE MINERAL CONTENT IN PATIENTS ON HEMODIALYSIS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Hiroshi Ogawa ◽  
Toshimitsu Koga ◽  
Daisuke Fuwa ◽  
Hirofumi Tamaki ◽  
Takayuki Nanbu ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Bone Mineral Content ◽  
Muscle Mass ◽  
Body Fat ◽  
Bone Mineral ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Mineral Content ◽  
Body Fat Mass ◽  
Total Plasma

Abstract Background and Aims Patients on hemodialysis are prone to undernutrition, malnutrition-inflammation-atherosclerosis (MIA) syndrome, and protein-energy wasting (PEW). One of the major adipocytokines adiponectin (ADPN) is involved in anti-arteriosclerotic and anti-inflammatory processes. However, ADPN is implicated in muscle weakness and loss of muscle mass in the elderly in addition to sarcopenia. At the 2019 ERA-EDTA Congress, we announced that total plasma ADPN levels in patients on hemodialysis (HD) showed a significant inverse correlation with BMI, body fat in percentage, mass and estimated skeletal muscle mass, and ADPN may be involved in sarcopenia in patients on HD. Herein, we investigated the association of ADPN level with sarcopenia in patients on HD using a method different from the one used in our previous study. We examined the relationship between total plasma ADPN level and the rate of change in estimated skeletal muscle mass, bone mineral content, and body fat mass over 5 years after the plasma ADPN measurement. Furthermore, we analyzed whether an elevated ADPN level was predictive of a subsequent decline in these parameters. Method Total plasma ADPN levels were measured using ELISA (Bio Vendor-Laboratorni Medicina a.s., Czech Republic) in 42 male patients on HD (age: 51.1 ± 9.0 years, dialysis vintage: 144.8 ± 99.2 months, BMI: 21.8 ± 3.2, dry BW: 62.0 ± 10.9 kg, dialysis time: 15.6 ± 3.1 hours/week). The estimates of skeletal muscle mass, bone mineral content, and body fat mass were made using multi-frequency bioelectrical impedance analysis (MFBIA) within the same year when total plasma ADPN level were first measured in 2011 as well as in 2016. We then calculated the rates of change in the estimated skeletal muscle mass, bone mineral content, and body fat mass over the 5 years and correlated these parameters with the total plasma ADPN measurements. Results Conclusion Total plasma ADPN levels inversely correlate with larger rates of decrease in estimated skeletal muscle mass and bone mineral content in patients on HD. This suggests that ADPN may play a role in the decline in skeletal muscle mass and bone mineral content over time in patients on HD.

Sign in / Sign up

Export Citation Format

Share Document